You will get Launch your AI/ML model with auto-scaling & built-in health monitoring.


Project details
We specialize in setting up streamlined cloud infrastructure used in ML and operational workflows, delivering cost savings through targeted optimizations while maintaining peak performance.
You will get:
Production-grade EC2 instance deployment
Live HTTPS endpoint with optional auto-scaling
Recorded hand-off session plus 3 days of ticket-based support
Live walkthrough demonstrating real-time requests to the endpoint
You will get:
Production-grade EC2 instance deployment
Live HTTPS endpoint with optional auto-scaling
Recorded hand-off session plus 3 days of ticket-based support
Live walkthrough demonstrating real-time requests to the endpoint
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, Kubeflow, Python, Python Scikit-Learn, PyTorchWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 2 days
- Number of Revisions 1
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$100About Nilay
Business Development Director
Ahmedabad, India - 8:09 pm local time
Steps for completing your project
After purchasing the project, send requirements so Nilay can start the project.
Delivery time starts when Nilay receives requirements from you.
Nilay works on your project following the steps below.
Revisions may occur after the delivery date.
Deploy to a cloud server (AWS, GCP, or Azure) via GitHub Actions
Configure health-check endpoints and enable logging